Gabriel Bugár
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
Papers in
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- Advanced Steganography and Watermarking Techniques 13
- Chaos-based Image/Signal Encryption 11
- Digital Media Forensic Detection 7
- Advanced Data Compression Techniques 5
- Co-authors
- Juraj Gazda (13 shared papers)Taras Maksymyuk (9 shared papers)Denis Horváth (6 shared papers)Mischa Döhler (2 shared papers)Mykhailo Klymash (1 shared paper)Vladimír Gazda (4 shared papers)Madhusanka Liyanage (1 shared paper)Minho Jo (1 shared paper)
In The Last Decade
Gabriel Bugár
28 papers receiving 268 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 123
- Computer Vision and Pattern Recognition 82
- Information Systems 79
- Health Informatics 4
- Media Technology 27
Countries citing papers authored by Gabriel Bugár
This map shows the geographic impact of Gabriel Bugár's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gabriel Bugár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Bugár more than expected).
Fields of papers citing papers by Gabriel Bugár
This network shows the impact of papers produced by Gabriel Bugár. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gabriel Bugár. The network helps show where Gabriel Bugár may publish in the future.
Co-authors
The 14 scholars most cited alongside Gabriel Bugár, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2022 | 38 | |
| 3 | 2018 | 32 | |
| 4 | 2011 | 30 | |
| 5 | 2019 | 13 | |
| 6 | 2023 | 10 | |
| 7 | Histogram secure steganography system in JPEG file based on modulus function | 2012 | 10 |
| 8 | 2013 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 2009 | 6 | |
| 11 | 2017 | 6 | |
| 12 | Blind steganography based on 2D Haar transform | 2013 | 5 |
| 13 | 2014 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2014 | 2 |
About Gabriel Bugár
Gabriel Bugár is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology and Signal Processing, having authored 30 papers that have together received 281 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (13 papers), Chaos-based Image/Signal Encryption (11 papers), Digital Media Forensic Detection (7 papers), Advanced MIMO Systems Optimization (5 papers), Advanced Data Compression Techniques (5 papers), ICT Impact and Policies (3 papers), Blockchain Technology Applications and Security (2 papers) and Millimeter-Wave Propagation and Modeling (2 papers). The work is most often cited by research in Computer Networks and Communications (123 citations), Computer Vision and Pattern Recognition (82 citations), Information Systems (79 citations), Health Informatics (4 citations) and Media Technology (27 citations). Gabriel Bugár has collaborated with scholars based in Slovakia, Ukraine and Ireland. Frequent co-authors include Juraj Gazda, Taras Maksymyuk, Denis Horváth, Mischa Döhler, Mykhailo Klymash, Vladimír Gazda, Madhusanka Liyanage, Minho Jo, Peter Drotár and Matúš Pleva. Their work appears in journals such as IEEE Access, Computer Networks, Wireless Networks, IEEE Communications Magazine and Ad Hoc Networks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.